code: def test_human_readable_repr(self):
      words_field = TextField([Token("hello")], {})
      label_field = LabelField(1, skip_indexing=True)
      instance1 = Instance(
          {"words": words_field, "labels": label_field}
      )
  
      assert type(instance1.human_readable_dict()) is dict
      assert instance1.human_readable_dict() == {
          "words": ["hello"],
          "labels": 1,
      }
  
      instance1_human_readable_dict = instance1.human_readable_dict()
      array = TensorField(numpy.asarray([1.0, 1, 1]))
      array_human_readable_dict = {
          "shape": [3],
          "element_mean": 1.0,
          "element_std": 0,
          "type": "float64",
      }
      instance2 = Instance(
          {"words": words_field, "labels": label_field, "tensor": array}
      )
      instance1_human_readable_dict[
          "tensor"
      ] = array_human_readable_dict
      assert (
          instance1_human_readable_dict
          == instance2.human_readable_dict()
      )
  
file_path: allennlp/tests/data/instance_test.py
imports: import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Instance
  from allennlp.data.fields import TextField, LabelField, TensorField
  from allennlp.data.token_indexers import PretrainedTransformerIndexer
  from allennlp.data.tokenizers import Token
label_desc: Use image node_id 3 for calling the TestInstance obj's underlying member method code with example usage: obj.test_human_readable_repr() without return types